feat(lab): seal full RAVNOVES004TREE semantic review
This commit is contained in:
@@ -1,7 +1,8 @@
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import { useEffect, useState } from "react";
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import { useEffect, useMemo, useState } from "react";
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import { Icon, IconButton, StatusBadge } from "@nodedc/ui-react";
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import { LaboratoryEvidenceViewer } from "../../components/laboratory/LaboratoryEvidenceViewer";
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import { LaboratoryRecordedClipPlayer } from "../../components/laboratory/LaboratoryRecordedClipPlayer";
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import {
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LaboratoryEvidence,
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LaboratoryResultSummary,
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@@ -9,10 +10,21 @@ import {
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LaboratoryWorkTemplate,
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} from "../../components/laboratory/LaboratoryPresentation";
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import {
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RecordedEvidenceSemanticMaskOverlay,
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type RecordedEvidenceSemanticClass,
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type RecordedEvidenceSemanticPaletteEntry,
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} from "../../components/laboratory/RecordedEvidenceSemanticMaskOverlay";
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import {
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vegetationFullRouteMaskUrl,
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vegetationVideoMaskUrl,
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type VegetationFullRouteLayer,
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type VegetationFullRouteReview,
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type VegetationMixedRouteReview,
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type VegetationShadowResult,
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} from "../../core/laboratory/vegetationShadow";
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import { recordedObservationSources } from "../../core/observation/recordedObservationSources";
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import { resolveObservationSessionReplay } from "../../core/observation/useObservationSessions";
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import type { ObservationSourceDescriptor } from "../../core/runtime/contracts";
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import {
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fetchM49TgsFullShadowResult,
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type M49TgsFullShadowResult,
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@@ -31,6 +43,217 @@ const MIXED_ROUTE_MODES = [
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{ value: "tgs", label: "TGS" },
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] as const;
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const FULL_ROUTE_MODES = [
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{ value: "source", label: "SOURCE" },
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{ value: "city", label: "ГОРОД · EoMT" },
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{ value: "vegetation", label: "ПРИРОДА · DDRNet" },
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] as const;
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function semanticPresentation(layer: VegetationFullRouteLayer): {
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classes: readonly RecordedEvidenceSemanticClass[];
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palette: readonly RecordedEvidenceSemanticPaletteEntry[];
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} {
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return {
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classes: layer.taxonomy.map((item) => ({ id: item.classId, label: item.label })),
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palette: layer.taxonomy.map((item) => ({
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classId: item.classId,
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color: item.classId === 0
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? { kind: "transparent" as const }
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: { kind: "diagnostic" as const, rgb: item.colorRgb },
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})),
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};
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}
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function FullRouteReviewEvidence({
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resultId,
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review,
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}: {
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resultId: string;
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review: VegetationFullRouteReview;
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}) {
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const [sequence, setSequence] = useState(1);
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const [playing, setPlaying] = useState(false);
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const [playbackRate, setPlaybackRate] = useState(1);
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const [mode, setMode] = useState<typeof FULL_ROUTE_MODES[number]["value"]>("vegetation");
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const [expanded, setExpanded] = useState(false);
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const [videoSource, setVideoSource] = useState<ObservationSourceDescriptor | null>(null);
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const [videoError, setVideoError] = useState<string | null>(null);
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const frames = useMemo(
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() => review.frameSourceTimesNs.map((sourceTimeNs, index) => ({
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sequence: index + 1,
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sourceTimeNs,
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})),
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[review.frameSourceTimesNs],
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);
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const layer = mode === "source" ? null : review[mode];
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const semantic = useMemo(() => layer ? semanticPresentation(layer) : null, [layer]);
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const maskSequence = sequence - 1;
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const prefetchSrcs = useMemo(() => layer
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? Array.from({ length: 8 }, (_, offset) => maskSequence + offset + 1)
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.filter((candidate) => candidate < review.frameCount)
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.map((candidate) => vegetationFullRouteMaskUrl(resultId, mode as "city" | "vegetation", candidate))
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: [], [layer, maskSequence, mode, resultId, review.frameCount]);
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useEffect(() => {
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const controller = new AbortController();
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setVideoSource(null);
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setVideoError(null);
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void resolveObservationSessionReplay(review.sessionId, { signal: controller.signal })
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.then((launch) => {
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const source = recordedObservationSources(launch).find((candidate) => (
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candidate.id === review.recordedMediaSourceId
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&& candidate.modality === "video"
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&& candidate.semanticChannelId === "camera.video.recorded"
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&& candidate.delivery?.kind === "recorded-fmp4-manifest"
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&& candidate.delivery.manifestGenerationSha256 === review.recordedMediaGenerationSha256
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&& candidate.delivery.timelineStartSeconds === review.timelineStartSeconds
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&& candidate.delivery.timelineEndSeconds >= review.timelineEndSeconds
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));
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if (!source) {
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throw new Error("RIGHT-видео не совпало с sealed RAVNOVES004TREE timeline.");
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}
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if (!controller.signal.aborted) setVideoSource(source);
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})
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.catch((caught: unknown) => {
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if (!controller.signal.aborted) {
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setVideoError(caught instanceof Error ? caught.message : "Записанное видео недоступно.");
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}
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});
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return () => controller.abort();
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}, [
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review.recordedMediaGenerationSha256,
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review.recordedMediaSourceId,
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review.sessionId,
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review.timelineEndSeconds,
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review.timelineStartSeconds,
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]);
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return (
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<LaboratoryEvidenceViewer
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label="RAVNOVES004TREE full recorded review"
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className="m48-atlas-visual"
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mode={mode}
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modes={FULL_ROUTE_MODES}
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expanded={expanded}
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onModeChange={setMode}
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onExpandedChange={setExpanded}
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chromeLayout="stacked"
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>
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{videoSource ? (
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<LaboratoryRecordedClipPlayer
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source={videoSource}
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segmentCount={review.frameCount}
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frames={frames}
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sequence={sequence}
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playing={playing}
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playbackRate={playbackRate}
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cameraPresentation="primary"
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continuousPlayback
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sourceCount={1}
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onSequenceChange={setSequence}
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onPlayingChange={setPlaying}
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onPlaybackRateChange={setPlaybackRate}
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cameraOverlay={(
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<>
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<div className="m48-clip-player__pane-label" data-pane="camera">
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{mode === "source" ? "SOURCE" : `${mode === "city" ? "EoMT CITY" : "DDRNet NATURE"} · КАДР ${sequence}/${review.frameCount}`}
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</div>
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{layer && semantic ? (
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<RecordedEvidenceSemanticMaskOverlay
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src={vegetationFullRouteMaskUrl(resultId, mode as "city" | "vegetation", maskSequence)}
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prefetchSrcs={prefetchSrcs}
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imageWidth={review.width}
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imageHeight={review.height}
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classes={semantic.classes}
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palette={semantic.palette}
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opacity={0.76}
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ariaLabel={`${layer.name} semantic prediction`}
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/>
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) : null}
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</>
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)}
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/>
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) : (
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<div className="m4-replay-threat-visual__pane-status" role={videoError ? "alert" : "status"}>
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{videoError ?? "Открываем автономный recorded source…"}
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</div>
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)}
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</LaboratoryEvidenceViewer>
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);
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}
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function FullRouteReviewResult({
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rigLabel,
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resultId,
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review,
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}: {
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rigLabel: string;
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resultId: string;
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review: VegetationFullRouteReview;
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}) {
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return (
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<LaboratoryWorkTemplate
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summary={(
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<LaboratorySummary
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title="LAB V1 · RAVNOVES004TREE · полный маршрут"
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description="Существующий M4.7-шаблон воспроизводит всю запись и переключает два независимых sealed semantic-слоя: городской EoMT и природный DDRNet. Worker для открытия результата не нужен."
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status="FULL RECORDED REVIEW · truth отсутствует · commands OFF"
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statusTone="warning"
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facts={[
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{ label: "Источник", value: `${review.sourceId} · ${review.frameCount}/${review.frameCount} frames` },
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{ label: "Город", value: `${review.city.name} · ${decimal(review.city.inferenceFps, 2)} fps` },
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{ label: "Природа", value: `${review.vegetation.name} · ${decimal(review.vegetation.inferenceFps, 2)} fps` },
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{ label: "Authority", value: `${rigLabel} · VISUAL REVIEW ONLY · commands OFF` },
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]}
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brief={{
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question: "Как оба semantic-кандидата ведут себя на полном переходе от сельской среды к городской?",
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approach: "Все 6830 позиции одной recorded timeline последовательно прогнаны на Worker 006 и сохранены двумя независимыми архивами масок. В M4.7 переключается только видимый слой.",
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principalResult: "Полная временная шкала доступна локально в SOURCE / EoMT CITY / DDRNet NATURE без обращения к Worker.",
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limitation: "Ручной truth отсутствует. Один повреждённый H.264-пакет на позиции 6092 представлен предыдущим декодированным кадром и явно зафиксирован в proof. Полный TGS и кюветы этим прогоном не проверялись.",
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}}
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method={{
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completeness: "complete",
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executionClass: "ai-inference",
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pipelineId: "ravnoves004tree-full-eomt-ddrnet-recorded-review/v1",
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components: [
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{ kind: "model", name: review.city.name, version: "sealed Worker 006 run", role: "urban semantic review", identitySha256: null },
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{ kind: "model", name: review.vegetation.name, version: "GOOSE DDRNet-39", role: "vegetation semantic review", identitySha256: null },
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],
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}}
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/>
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)}
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evidence={(
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<LaboratoryEvidence
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eyebrow="M4.7 TEMPLATE · RAVNOVES004TREE FULL VIDEO"
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title="SOURCE / EoMT CITY / DDRNet NATURE · 6830/6830 · TRUTH отсутствует"
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kind="diagnostic-model"
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resizable
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>
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<FullRouteReviewEvidence resultId={resultId} review={review} />
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</LaboratoryEvidence>
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)}
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result={(
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<LaboratoryResultSummary
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title="Полный двухслойный visual review собран; управление не авторизовано"
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status="Recorded evidence ready · navigation/actuation OFF"
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statusTone="warning"
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metrics={[
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{ label: "Route masks", value: "6830/6830 × 2", hint: "sealed local archives · Worker не требуется" },
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{ label: "EoMT p95", value: `${decimal(review.city.latencyP95Ms, 2)} ms`, hint: "последовательный изолированный прогон" },
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{ label: "DDRNet p95", value: `${decimal(review.vegetation.latencyP95Ms, 2)} ms`, hint: "последовательный изолированный прогон" },
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{ label: "Decode repair", value: "1/6830", hint: "sequence 6092 · previous frame · sealed proof" },
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]}
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conclusion={{
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proved: "Городской EoMT и природный DDRNet воспроизводимо обработали полную запись и доступны в одном существующем M4.7 viewer.",
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notProved: "Не доказаны truth accuracy, одновременный realtime-load, полный TGS, отрицательные препятствия и безопасное управление ровером.",
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decision: "Использовать результат только как визуальную диагностику. Navigation/actuation оставить OFF; следующий gate — оценка временной стабильности и независимый person/vehicle STOP.",
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}}
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/>
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)}
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/>
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);
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}
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function MixedRouteReviewEvidence({ review }: { review: VegetationMixedRouteReview }) {
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const [index, setIndex] = useState(0);
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const [mode, setMode] = useState<typeof MIXED_ROUTE_MODES[number]["value"]>("vegetation");
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@@ -224,6 +447,15 @@ export function VegetationShadowResultView({
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rigLabel: string;
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result: VegetationShadowResult;
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}) {
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if (result.routeFullReview) {
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return (
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<FullRouteReviewResult
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rigLabel={rigLabel}
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resultId={result.resultId}
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review={result.routeFullReview}
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/>
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);
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}
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if (result.routeReview) {
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return <MixedRouteReviewResult rigLabel={rigLabel} review={result.routeReview} />;
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}
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